# How to integrate Emailoctopus MCP with LangChain

```json
{
  "title": "How to integrate Emailoctopus MCP with LangChain",
  "toolkit": "Emailoctopus",
  "toolkit_slug": "emailoctopus",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/emailoctopus/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/emailoctopus/framework/langchain.md",
  "updated_at": "2026-05-12T10:10:16.645Z"
}
```

## Introduction

This guide walks you through connecting Emailoctopus to LangChain using the Composio tool router. By the end, you'll have a working Emailoctopus agent that can add new subscribers to your newsletter list, unsubscribe a user from marketing emails, list all recent email campaigns sent through natural language commands.
This guide will help you understand how to give your LangChain agent real control over a Emailoctopus account through Composio's Emailoctopus MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Emailoctopus with

- [OpenAI Agents SDK](https://composio.dev/toolkits/emailoctopus/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/emailoctopus/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/emailoctopus/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/emailoctopus/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/emailoctopus/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/emailoctopus/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/emailoctopus/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/emailoctopus/framework/cli)
- [Google ADK](https://composio.dev/toolkits/emailoctopus/framework/google-adk)
- [Vercel AI SDK](https://composio.dev/toolkits/emailoctopus/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/emailoctopus/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/emailoctopus/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/emailoctopus/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Connect your Emailoctopus project to Composio
- Create a Tool Router MCP session for Emailoctopus
- Initialize an MCP client and retrieve Emailoctopus tools
- Build a LangChain agent that can interact with Emailoctopus
- Set up an interactive chat interface for testing

## What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.
Key features include:
- Agent Framework: Build agents that can use tools and make decisions
- MCP Integration: Connect to external services through Model Context Protocol adapters
- Memory Management: Maintain conversation history across interactions
- Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

## What is the Emailoctopus MCP server, and what's possible with it?

The Emailoctopus MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Emailoctopus account. It provides structured and secure access to your subscriber lists, contacts, and campaigns, so your agent can perform actions like managing lists, adding contacts, launching campaigns, and handling unsubscriptions on your behalf.
- Seamless contact management: Your agent can create new contacts, update details, or remove subscribers from your marketing lists in seconds.
- Mailing list creation and organization: Effortlessly set up new mailing lists and keep your audience segmented for targeted campaigns.
- Campaign insights and retrieval: Instantly access details about your recent email campaigns, including summaries and performance data.
- Automated unsubscriptions and compliance: Quickly unsubscribe contacts or delete them to keep your lists clean and privacy-compliant.
- Bulk list management: Retrieve and organize all mailing lists in your account, making it easy to scale and update your marketing efforts.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `EMAILOCTOPUS_CREATE_CONTACT` | Create Contact | This tool creates a new contact in EmailOctopus. The tool will add a contact to a specified list with the provided information. |
| `EMAILOCTOPUS_CREATE_FIELD` | Create Field | Tool to create a new custom field on an EmailOctopus mailing list. Use when you need to add additional data fields beyond the default Email, First Name, and Last Name fields. |
| `EMAILOCTOPUS_CREATE_LIST` | Create List | Creates a new mailing list in EmailOctopus for organizing and managing email contacts. The list is created with default fields (Email address, First name, Last name) and can be used to add contacts, send campaigns, and track subscriber engagement. |
| `EMAILOCTOPUS_CREATE_TAG` | Create Tag | Tool to create a new tag on an EmailOctopus mailing list. Use when you need to add a new tag for contact segmentation and filtering purposes. |
| `EMAILOCTOPUS_DELETE_CONTACT` | Delete Contact | Permanently deletes a contact from a specified EmailOctopus list. This action is irreversible - once deleted, the contact and all associated data will be removed from the list. Use this for list management, honoring deletion requests, and data privacy compliance (e.g., GDPR right to erasure). |
| `EMAILOCTOPUS_DELETE_FIELD` | Delete Field | Permanently deletes a custom field from a specified EmailOctopus list. This action is irreversible - once deleted, the field and all associated data will be removed from the list. Use this for list customization and field management. |
| `EMAILOCTOPUS_DELETE_LIST` | Delete List | This tool allows you to delete an existing mailing list from your EmailOctopus account. Once a list is deleted, it cannot be recovered, and all contacts within the list will be permanently removed. Note: Lists can only be deleted if no contacts within the list have received an email in the last 7 days. |
| `EMAILOCTOPUS_DELETE_TAG` | Delete Tag | Tool to delete a tag from a mailing list in EmailOctopus. Use when you need to remove an existing tag that is no longer needed for contact organization or segmentation. |
| `EMAILOCTOPUS_GET_ALL_LISTS` | Get All Lists | This tool retrieves all the mailing lists associated with the EmailOctopus account. |
| `EMAILOCTOPUS_GET_CONTACT` | Get Contact | Tool to retrieve details of a specific contact from an EmailOctopus list. Use when you need to fetch contact information including email, fields, tags, and subscription status. |
| `EMAILOCTOPUS_GET_LIST` | Get List | Retrieves details of a specific mailing list by ID. Use when you need to fetch list information, including its name, fields, tags, contact counts, and opt-in settings. |
| `EMAILOCTOPUS_GET_RECENT_CAMPAIGNS` | Get Recent Campaigns | This tool retrieves a list of recent campaigns from the EmailOctopus account. |
| `EMAILOCTOPUS_LIST_CONTACTS` | List Contacts | Tool to retrieve contacts from an EmailOctopus list. Returns a paginated list of contacts with optional filtering by tag, status, and date ranges. |
| `EMAILOCTOPUS_LIST_TAGS` | List Tags | Tool to retrieve all tags from a mailing list. Use when you need to see what tags are available on a specific list for contact segmentation. |
| `EMAILOCTOPUS_UNSUBSCRIBE_CONTACT` | Unsubscribe Contact | Unsubscribes a contact from an EmailOctopus mailing list. This tool updates the contact's subscription status to 'unsubscribed', which stops them from receiving future emails from the specified list. The contact record is preserved but marked as unsubscribed. |
| `EMAILOCTOPUS_UPDATE_CONTACTS_BATCH` | Batch Update Contacts | Tool to update multiple contacts in an EmailOctopus list in a single batch operation. Use when you need to efficiently update multiple contacts at once with changes to their email, fields, status, or tags. |
| `EMAILOCTOPUS_UPDATE_FIELD` | Update Field | Updates an existing custom field on an EmailOctopus list including its label, tag, type, and fallback value. Use this action to modify field properties or rename field tags. Note that changing the tag will affect how the field is referenced in email templates. |
| `EMAILOCTOPUS_UPDATE_LIST` | Update List | Tool to update an existing mailing list's name in EmailOctopus. Use when you need to rename a list. |
| `EMAILOCTOPUS_UPDATE_TAG` | Update Tag | Tool to update an existing tag on a mailing list. Use when you need to rename a tag. |
| `EMAILOCTOPUS_UPSERT_CONTACT` | Create or Update Contact | Tool to create or update a contact in EmailOctopus. If the contact does not exist, it will be created. If the contact already exists, it will be updated. Use when you need to ensure a contact exists with specific information regardless of whether they're already in the list. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Emailoctopus MCP server is an implementation of the Model Context Protocol that connects your AI agent to Emailoctopus. It provides structured and secure access so your agent can perform Emailoctopus operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

No description provided.

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

No description provided.
```python
pip install composio-langchain langchain-mcp-adapters langchain python-dotenv
```

```typescript
npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your requests to Composio's API
- COMPOSIO_USER_ID identifies the user for session management
- OPENAI_API_KEY enables access to OpenAI's language models
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

No description provided.
```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
```

### 5. Initialize Composio client

What's happening:
- We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
- Creating a Composio instance that will manage our connection to Emailoctopus tools
- Validating that COMPOSIO_USER_ID is also set before proceeding
```python
async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))

    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
```

```typescript
const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
```

### 6. Create a Tool Router session

What's happening:
- We're creating a Tool Router session that gives your agent access to Emailoctopus tools
- The create method takes the user ID and specifies which toolkits should be available
- The returned session.mcp.url is the MCP server URL that your agent will use
- This approach allows the agent to dynamically load and use Emailoctopus tools as needed
```python
# Create Tool Router session for Emailoctopus
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['emailoctopus']
)

url = session.mcp.url
```

```typescript
const session = await composio.create(
    userId as string,
    {
        toolkits: ['emailoctopus']
    }
);

const url = session.mcp.url;
```

### 7. Configure the agent with the MCP URL

No description provided.
```python
client = MultiServerMCPClient({
    "emailoctopus-agent": {
        "transport": "streamable_http",
        "url": session.mcp.url,
        "headers": {
            "x-api-key": os.getenv("COMPOSIO_API_KEY")
        }
    }
})

tools = await client.get_tools()

agent = create_agent("gpt-5", tools)
```

```typescript
const client = new MultiServerMCPClient({
    "emailoctopus-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
```

### 8. Set up interactive chat interface

No description provided.
```python
conversation_history = []

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Emailoctopus related question or task to the agent.\n")

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ['exit', 'quit', 'bye']:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_history.append({"role": "user", "content": user_input})
    print("\nAgent is thinking...\n")

    response = await agent.ainvoke({"messages": conversation_history})
    conversation_history = response['messages']
    final_response = response['messages'][-1].content
    print(f"Agent: {final_response}\n")
```

```typescript
let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Emailoctopus related question or task to the agent.\n");

const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
});

rl.prompt();

rl.on('line', async (userInput: string) => {
    const trimmedInput = userInput.trim();

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

    if (!trimmedInput) {
        rl.prompt();
        return;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
```

### 9. Run the application

No description provided.
```python
if __name__ == "__main__":
    asyncio.run(main())
```

```typescript
main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
```

## Complete Code

```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    
    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
    
    session = composio.create(
        user_id=os.getenv("COMPOSIO_USER_ID"),
        toolkits=['emailoctopus']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "emailoctopus-agent": {
            "transport": "streamable_http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    })
    
    tools = await client.get_tools()
  
    agent = create_agent("gpt-5", tools)
    
    conversation_history = []
    
    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Ask any Emailoctopus related question or task to the agent.\n")
    
    while True:
        user_input = input("You: ").strip()
        
        if user_input.lower() in ['exit', 'quit', 'bye']:
            print("\nGoodbye!")
            break
        
        if not user_input:
            continue
        
        conversation_history.append({"role": "user", "content": user_input})
        print("\nAgent is thinking...\n")
        
        response = await agent.ainvoke({"messages": conversation_history})
        conversation_history = response['messages']
        final_response = response['messages'][-1].content
        print(f"Agent: {final_response}\n")

if __name__ == "__main__":
    asyncio.run(main())
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['emailoctopus']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "emailoctopus-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Emailoctopus related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\nSession ended.');
        process.exit(0);
    });
}

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
```

## Conclusion

You've successfully built a LangChain agent that can interact with Emailoctopus through Composio's Tool Router.
Key features of this implementation:
- Dynamic tool loading through Composio's Tool Router
- Conversation history maintenance for context-aware responses
- Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

## How to build Emailoctopus MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/emailoctopus/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/emailoctopus/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/emailoctopus/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/emailoctopus/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/emailoctopus/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/emailoctopus/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/emailoctopus/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/emailoctopus/framework/cli)
- [Google ADK](https://composio.dev/toolkits/emailoctopus/framework/google-adk)
- [Vercel AI SDK](https://composio.dev/toolkits/emailoctopus/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/emailoctopus/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/emailoctopus/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/emailoctopus/framework/crew-ai)

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## Frequently Asked Questions

### What are the differences in Tool Router MCP and Emailoctopus MCP?

With a standalone Emailoctopus MCP server, the agents and LLMs can only access a fixed set of Emailoctopus tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Emailoctopus and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with LangChain?

Yes, you can. LangChain fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Emailoctopus tools.

### Can I manage the permissions and scopes for Emailoctopus while using Tool Router?

Yes, absolutely. You can configure which Emailoctopus scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Emailoctopus data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
